In integrating geo-spatial datasets, sometimes layers are unable to perfectly overlay each other. In most cases, the cause of misalignment is the cartographic variation of objects forming features in the datasets. Either this could be due to actual changes on ground, collection, or storage approaches used leading to overlapping or openings between features. In this paper, we present an alignment method that uses adjustment algorithms to update the geometry of features within a dataset or complementary adjacent datasets so that they can align to achieve perfect integration. The method identifies every unique spatial instance in datasets and their spatial points that define all their geometry; the differences are compared and used to compute the alignment parameters. This provides a uniform geo-spatial features’ alignment taking into consideration changes in the different datasets being integrated without affecting the topology and attributes.

Organizations tend to use information systems (IS) applications that require data to be exchanged between different parties, while data exchange is restricted with information reach and range, which determines the organizations’ IT platform. To determine the best platform, a comparison between electronic data interchange (EDI) and web services was conducted depending on certain criteria, and then we match the results with the information reach and range. The main findings show that the web services platform can take place when the range of information access is required by anyone and anywhere regardless of IT base. EDI can take place when the range of information access doesn’t exceed the organizations’ boundaries. But when the range of information access exceeds the organizations’ boundaries, still between certain partners, web services or EDI can take place, and thus the organization can select them from those platforms depending on other criteria such as security, and cost.